Claudia Soares

Claudia Soares

I use optimization, physics, and probability theory to develop robust, interpretable, and trustworthy learning methods to be applied in the real world.

Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems

Published in 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025

Recommended citation: Diogo Lavado, Ricardo Santos, André Coelho, João Santos, Alessandra Micheletti, Claudia Soares, "Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems." 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025. http://dx.doi.org/10.1109/wacv61041.2025.00712

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Bibtex:

@inproceedings{Lavado_2025-2,
    author = "Lavado, Diogo and Santos, Ricardo and Coelho, André and Santos, João and Micheletti, Alessandra and Soares, Claudia",
    title = "Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems",
    url = "http://dx.doi.org/10.1109/wacv61041.2025.00712",
    DOI = "10.1109/wacv61041.2025.00712",
    booktitle = "2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
    publisher = "IEEE",
    year = "2025",
    month = "Feb",
    pages = "7326-7336"
}